Shape memory behavior of carbon nanotube‐reinforced <i>trans</i>‐1,4‐polyisoprene and low‐density polyethylene composites

Xia, Lin; Wu, Hao; Gui-xue, Qiu

doi:10.1002/pat.4751

Cited by 13 publications

(9 citation statements)

References 45 publications

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“…It is well known that TPI is a type of SMP (Fig. S17), which can provide the SMS with the SME [55,56]. Briefly, the original sponge with a larger pore size (about 895 μm) and thickness is the permanent shape (upper left in Fig.…”

Section: Resultsmentioning

confidence: 99%

A shape memory porous sponge with tunability in both surface wettability and pore size for smart molecule release

et al. 2021

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Recently, smart superwetting porous materials have aroused much attention, and it is well known that tunable surface wettability and pore structure/size are extremely important for their functions. However, only one factor can be regulated on existing materials, which significantly restricts their controllability, functions, and applications. A new material was prepared by electrodepositing a layer of polypyrrole on a shape memory sponge, on which switchable superhydrophobicity/superhydrophilicity and adjustable pore size within the range of about 28 nm to 895 µm can be observed. Through synergistically tuning the wettability and pore size, both ON/OFF water permeation and accurate flux can be obtained. Meanwhile, we also applied the sponge for molecule release, and diverse release manners with precise/smart controllability can be accomplished. This paper reports for the first time a smart material with controllability in both surface wetting and pore size, which provides a new strategy for the preparation of novel smart superwetting porous materials.

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Section: Resultsmentioning

confidence: 99%

A shape memory porous sponge with tunability in both surface wettability and pore size for smart molecule release

et al. 2021

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“…The results show that the melting temperature (T m ), crystallization temperature (T c ), melting enthalpy (∆H m ), and crystallinity (X c ) of the TPI/CNTs@PDA composites were higher than those of neat TPI and TPI/CNTs. The reason was that the agglomeration of neat CNTs in the matrix hindered the crystallization of the TPI molecular chains and led to the decrease in the crystallinity of the materials [ 42 ]. The results also indicate that the CNTs@PDA had better dispersion in the TPI composites.…”

Section: Resultsmentioning

confidence: 99%

Development of Trans-1,4-Polyisoprene Shape-Memory Polymer Composites Reinforced with Carbon Nanotubes Modified by Polydopamine

Zhang

Xin

et al. 2021

Polymers

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In this study, which was inspired by mussel-biomimetic bonding research, carbon nanotubes (CNTs) were interfacially modified with polydopamine (PDA) to prepare a novel nano-filler (CNTs@PDA). The structure and properties of the CNTs@PDA were studied using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and thermogravimetric analysis (TGA). The CNTs and the CNTs@PDA were used as nanofillers and melt-blended into trans-1,4 polyisoprene (TPI) to create shape-memory polymer composites. The thermal stability, mechanical properties, and shape-memory properties of the TPI/CNTs and TPI/CNTs@PDA composites were systematically studied. The results demonstrate that these modifications enhanced the interfacial interaction, thermal stability, and mechanical properties of TPI/CNTs@PDA composites while maintaining shape-memory performance.

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“…If composites like trans-1, 4-polyisoprene (TPI)/LDPE/carbon nanotubes (CNTs) were developed by a very simple natural blending technique, CNTs served as not only reinforced fillers but also nucleation promoter, which advances the crystallinity of the TPI and LDPE parts of the composites. Researchers conclude that the CNTs doses of 1 PHR (Parts per Hundred Rubber) could significantly improve the properties of the TPI/LDPE composites other than any CNTs doses [ 55 , 56 , 57 , 58 ].…”

Section: Types Of Synthetic Fibersmentioning

confidence: 99%

A Review on Synthetic Fibers for Polymer Matrix Composites: Performance, Failure Modes and Applications

Rajak¹,

Wagh²,

Linul

2022

Materials

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In the last decade, synthetic fiber, as a reinforcing specialist, has been mainly used in polymer matrix composites (PMC’s) to provide lightweight materials with improved stiffness, modulus, and strength. The significant feature of PMC’s is their reinforcement. The main role of the reinforcement is to withstand the load applied to the composite. However, in order to fulfill its purpose, the reinforcements must meet some basic criteria such as: being compatible with the matrix, making chemical or adhesion bonds with the matrix, having properties superior to the matrix, presenting the optimal orientation in composite and, also, having a suitable shape. The current review reveals a detailed study of the current progress of synthetic fibers in a variety of reinforced composites. The main properties, failure modes, and applications of composites based on synthetic fibers are detailed both according to the mentioned criteria and according to their types (organic or inorganic fibers). In addition, the choice of classifications, applications, and properties of synthetic fibers is largely based on their physical and mechanical characteristics, as well as on the synthesis process. Finally, some future research directions and challenges are highlighted.

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Shape memory behavior of carbon nanotube‐reinforced trans‐1,4‐polyisoprene and low‐density polyethylene composites

Cited by 13 publications

References 45 publications

A shape memory porous sponge with tunability in both surface wettability and pore size for smart molecule release

A shape memory porous sponge with tunability in both surface wettability and pore size for smart molecule release

Development of Trans-1,4-Polyisoprene Shape-Memory Polymer Composites Reinforced with Carbon Nanotubes Modified by Polydopamine

A Review on Synthetic Fibers for Polymer Matrix Composites: Performance, Failure Modes and Applications

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